constrained-optimization
There are 165 repositories under constrained-optimization topic.
SimonBlanke/Gradient-Free-Optimizers
Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.
pnnl/neuromancer
Pytorch-based framework for solving parametric constrained optimization problems, physics-informed system identification, and parametric model predictive control.
lezcano/geotorch
Constrained optimization toolkit for PyTorch
ipc-sim/IPC
Incremental Potential Contact (IPC) is for robust and accurate time stepping of nonlinear elastodynamics. IPC guarantees intersection- and inversion-free trajectories regardless of materials, time-step sizes, velocities, or deformation severity.
PKU-DAIR/open-box
Generalized and Efficient Blackbox Optimization System
hiroyuki-kasai/NMFLibrary
NMFLibrary: Non-negative Matrix Factorization (NMF) Library: Version 2.1
libprima/prima
PRIMA is a package for solving general nonlinear optimization problems without using derivatives. It provides the reference implementation for Powell's derivative-free optimization methods, i.e., COBYLA, UOBYQA, NEWUOA, BOBYQA, and LINCOA. PRIMA means Reference Implementation for Powell's methods with Modernization and Amelioration, P for Powell.
liminchen/OptCuts
OptCuts, a new parameterization algorithm, jointly optimizes arbitrary embeddings for seam quality and distortion. OptCuts requires no parameter tuning; automatically generating mappings that minimize seam-lengths while satisfying user-requested distortion bounds.
Gecode/gecode
Generic Constraint Development Environment
jmejia8/Metaheuristics.jl
High-performance metaheuristics for optimization coded purely in Julia.
cvanaret/Uno
A next-gen solver for optimization with nonconvex objective and constraints. Unifies barrier and SQP methods in a modern and generic way, and unlocks a variety of novel methods. Competitive against filterSQP, IPOPT, SNOPT, MINOS and CONOPT.
LLNL/hiop
HPC solver for nonlinear optimization problems
ipc-sim/Codim-IPC
Source Codes for Codimensional Incremental Potential Contact (C-IPC)
ahundt/grl
Robotics tools in C++11. Implements soft real time arm drivers for Kuka LBR iiwa plus V-REP, ROS, Constrained Optimization based planning, Hand Eye Calibration and Inverse Kinematics integration.
phys-sim-book/solid-sim-tutorial
A curated collection of Python examples for optimization-based solid simulation, emphasizing algorithmic convergence, penetration-free, and inversion-free conditions, designed for readability and understanding.
cooper-org/cooper
A general-purpose, deep learning-first library for constrained optimization in PyTorch
pronenewbits/Arduino_Constrained_MPC_Library
A compact Constrained Model Predictive Control (MPC) library with Active Set based Quadratic Programming (QP) solver for Teensy4/Arduino system (or any real time embedded system in general)
pdfo/pdfo
Powell's Derivative-Free Optimization solvers.
jacobwilliams/slsqp
Modern Fortran Edition of the SLSQP Optimizer
ralna/CUTEst
The Constrained and Unconstrained Testing Environment with safe threads (CUTEst) for optimization software
thomas-young-2013/open-box
Generalized and Efficient Blackbox Optimization System.
Swiggy/Moo-GBT
Library for Multi-objective optimization in Gradient Boosted Trees
jkaardal/pyipm
An interior-point method written in python for solving constrained and unconstrained nonlinear optimization problems.
phys-sim-book/solid-sim-tutorial-gpu
A curated set of C++ examples for optimization-based elastodynamic contact simulation using CUDA, emphasizing algorithmic convergence, penetration-free, and inversion-free conditions. Designed for readability and understanding, this tutorial helps beginners learn how to write simple GPU code for efficient solid simulations.
wanxinjin/Safe-PDP
Safe Pontryagin Differentiable Programming (Safe PDP) is a new theoretical and algorithmic safe differentiable framework to solve a broad class of safety-critical learning and control tasks.
hiroyuki-kasai/RSOpt
Riemannian stochastic optimization algorithms: Version 1.0.3
xcsp3team/pycsp3
A Python Library for modeling combinatorial constrained problems
nathanrooy/landscapes
A dependency free library of standardized optimization test functions written in pure Python.
crowsonkb/mdmm
The Modified Differential Multiplier Method (MDMM) for PyTorch
platers/songpong
Synchronizing pong to music
StefanoFioravanzo/MAP-Elites
Python implementation of the genetic algorithm MAP-Elites with applications in constrained optimization
SapanaChaudhary/PyTorch-CPO
PyTorch implementation of Constrained Policy Optimization
pothitos/naxos
A C++ Constraint Programming Library
manuwhs/Trapyng
Python library to implement advanced trading strategies using machine learning and perform backtesting.
jerrytheo/psopy
A SciPy compatible super fast Python implementation for Particle Swarm Optimization.
jacobwilliams/PowellOpt
Optimization algorithms by M.J.D. Powell